COLLEGE OF ARTS AND SCIENCES Department of Mathematics and Statistics

The Thirty-Seventh Annual
T.G. Ostrom Lecture

Dr. Veerabhadran Baladandayuthapani

Wednesday, April 11, 2018

Please join us for an informative discussion by this year's invited guest lecturer Dr. Veerabhadran Baladandayuthapani, Department of Biostatistics, Division of Quantitative Sciences, The University of Texas MD Anderson Cancer Center, Houston, Texas.

Lecture Reception:

A reception with refreshments will immediately follow the lecture in the Hacker Lounge in Neill Hall, room 216.

About Dr. Baladandayuthapani:

Dr. Baladanayuthapani is a statistician and (broadly) a data scientist, working at the intersection of statistics, biology and medicine. His research interests are mainly in high-dimensional data modeling and Bayesian inference. This includes functional data analyses, Bayesian graphical models, Bayesian semi-/non parametric models and machine learning. These methods are motivated by large and complex datasets such as high-throughput genomics, epigenomics, transcriptomics and proteomics as well as high-resolution neuro- and cancer- imaging. A special focus is on developing integrative models combining different sources of data for biomarker discovery and clinical prediction to aid precision/translational medicine. His research is supported by several grants from NIH, NSF and internal MD Anderson funding.

Recent talks/interviews include an overview of Bayesian methods for Integrative Modeling in ‘Omics data and a (very high-level) overview of Big Data in Oncology. A recent radio interview about our imaging-genetics work (given by one my students on our joint work) may be found here

Dr. Baladandayuthapani's publications may be found here, individuals on his research group may be found here, and information about software that has been developed by his group may be found here.

Dr. Baladandayuthanpani's wife is a high-profile architect/researcher, and they have two boys. He is also a rabid cricket fan who gets up early to watch matches on TV with his two sons. He has said that if he hadn't gone into math, the would have been a sports journalist or a barista since he loves making different types of coffee.

Click here for an Ostrom Lecture pdf flier.